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» Scaling Clustering Algorithms to Large Databases
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BMCBI
2010
125views more  BMCBI 2010»
15 years 6 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
EDBT
2008
ACM
154views Database» more  EDBT 2008»
16 years 6 months ago
Ring-constrained join: deriving fair middleman locations from pointsets via a geometric constraint
We introduce a novel spatial join operator, the ring-constrained join (RCJ). Given two sets P and Q of spatial points, the result of RCJ consists of pairs p, q (where p P, q Q) ...
Man Lung Yiu, Panagiotis Karras, Nikos Mamoulis
ICML
2007
IEEE
16 years 6 months ago
Focused crawling with scalable ordinal regression solvers
In this paper we propose a novel, scalable, clustering based Ordinal Regression formulation, which is an instance of a Second Order Cone Program (SOCP) with one Second Order Cone ...
Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. ...
CAV
2007
Springer
164views Hardware» more  CAV 2007»
15 years 10 months ago
SAT-Based Compositional Verification Using Lazy Learning
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...
Nishant Sinha, Edmund M. Clarke
ICASSP
2011
IEEE
14 years 9 months ago
Co-clustering as multilinear decomposition with sparse latent factors
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos